Technical Account Manager
Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.
Maintainer signals as of 8/29/2026
About Dataiku
Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will manage technical relationships with strategic clients and coordinate priorities, milestones, deliverables, updates, risks, and mitigation plans. You will advise client teams on platform architecture, deployment, operations, upgrades, security, data management, compute resources, MLOps, monitoring, and scaling. You will integrate the product into client systems, troubleshoot technical challenges, capture feedback, and support advanced use cases such as edge computing and deep learning.
Requirements
- 7+ years of experience in a customer-facing technical role
- Native or bilingual proficiency in English
- Strong communication and client relationship skills
- Experience supporting pre-sales and post-sales engagements
- Proficiency in Linux system administration and networking
- Experience with LDAP, Kerberos, Active Directory, or IAM
- Hands-on experience with AWS, Azure, or GCP
- Hands-on experience with Kubernetes setup, administration, troubleshooting, and tuning
- Familiarity with Hadoop or Spark
- Experience with Python
- Data science knowledge
- Basic knowledge of Java
- Familiarity with MLOps practices and tools
Responsibilities
- Identify short and long-term client priorities and develop engagement plans
- Manage project milestones, deliverables, status updates, issues, and risks
- Maintain central technical information for client accounts
- Improve documentation, processes, and knowledge sharing
- Advise clients on platform architecture, deployment, operations, upgrades, security, data management, compute resources, MLOps, monitoring, and scaling
- Integrate the product into client systems and troubleshoot technical challenges
- Capture client feedback and feature requests
- Advise client technology leaders on complementary technologies and long-term technical strategy
- Support advanced use cases involving edge computing, deep learning, and MLOps
Benefits
- Remote work option in the United Kingdom
Hiring Process
Initial call with Technical Recruiting; video call with the TAM Hiring Manager; home technical assessment; assessment debrief with TAM team members; customer-facing situational peer interview; final interview with the VP Field Engineering.
